{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "70149414-e377-4c9e-87d2-2b94a7f5e15d",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 作业要求\n",
    "\n",
    "1. 读取scores.csv，绘制直方图。\n",
    "2. 读取csv文件之后生成DataFrame对象。\n",
    "3. 绘制其中历史成绩(“history”)的直方图。\n",
    "4. 标记x轴的坐标。\n",
    "5. 每个柱面上方显示处于该区间内成绩数量。\n",
    "6. 图标题是”x班历史成绩直方图“"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a571b3d6-8a9d-44ac-bb76-828547204467",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-29T07:22:35.759975Z",
     "iopub.status.busy": "2022-06-29T07:22:35.759394Z",
     "iopub.status.idle": "2022-06-29T07:22:36.511381Z",
     "shell.execute_reply": "2022-06-29T07:22:36.510785Z",
     "shell.execute_reply.started": "2022-06-29T07:22:35.759907Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# 字体管理包\n",
    "from matplotlib import font_manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fc420d5f-6733-4e98-8716-444e79c65368",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-29T07:22:38.111859Z",
     "iopub.status.busy": "2022-06-29T07:22:38.111448Z",
     "iopub.status.idle": "2022-06-29T07:22:38.115548Z",
     "shell.execute_reply": "2022-06-29T07:22:38.114785Z",
     "shell.execute_reply.started": "2022-06-29T07:22:38.111832Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 创建字体管理对象，指向具体的字体文件\n",
    "font = font_manager.FontProperties(\n",
    "    fname=\"/System/Library/Fonts/STHeiti Light.ttc\", size=14, weight=4\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2c8d6ecb-cbc1-4c52-9725-13a18f903f5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-29T07:22:39.990029Z",
     "iopub.status.busy": "2022-06-29T07:22:39.989471Z",
     "iopub.status.idle": "2022-06-29T07:22:40.014431Z",
     "shell.execute_reply": "2022-06-29T07:22:40.013498Z",
     "shell.execute_reply.started": "2022-06-29T07:22:39.990002Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num</th>\n",
       "      <th>class</th>\n",
       "      <th>chn</th>\n",
       "      <th>math</th>\n",
       "      <th>eng</th>\n",
       "      <th>phy</th>\n",
       "      <th>chem</th>\n",
       "      <th>politics</th>\n",
       "      <th>bio</th>\n",
       "      <th>history</th>\n",
       "      <th>geo</th>\n",
       "      <th>pe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>158</td>\n",
       "      <td>3</td>\n",
       "      <td>99.0</td>\n",
       "      <td>120</td>\n",
       "      <td>114.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>49.50</td>\n",
       "      <td>50.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>49.5</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>442</td>\n",
       "      <td>7</td>\n",
       "      <td>107.0</td>\n",
       "      <td>120</td>\n",
       "      <td>118.5</td>\n",
       "      <td>68.6</td>\n",
       "      <td>43.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>48.5</td>\n",
       "      <td>48.5</td>\n",
       "      <td>49.0</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>249</td>\n",
       "      <td>4</td>\n",
       "      <td>98.0</td>\n",
       "      <td>120</td>\n",
       "      <td>116.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.50</td>\n",
       "      <td>47.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>47.5</td>\n",
       "      <td>49.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>573</td>\n",
       "      <td>9</td>\n",
       "      <td>102.0</td>\n",
       "      <td>113</td>\n",
       "      <td>111.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>47.00</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>49.5</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>310</td>\n",
       "      <td>5</td>\n",
       "      <td>103.0</td>\n",
       "      <td>120</td>\n",
       "      <td>111.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>44.75</td>\n",
       "      <td>46.5</td>\n",
       "      <td>48.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num  class    chn  math    eng   phy   chem  politics   bio  history   geo  \\\n",
       "0  158      3   99.0   120  114.0  70.0  49.50      50.0  49.0     48.5  49.5   \n",
       "1  442      7  107.0   120  118.5  68.6  43.00      49.0  48.5     48.5  49.0   \n",
       "2  249      4   98.0   120  116.0  70.0  47.50      47.0  49.0     47.5  49.0   \n",
       "3  573      9  102.0   113  111.5  70.0  47.00      49.0  49.0     49.0  49.5   \n",
       "4  310      5  103.0   120  111.5  70.0  44.75      46.5  48.0     48.0  48.0   \n",
       "\n",
       "   pe  \n",
       "0  60  \n",
       "1  56  \n",
       "2  60  \n",
       "3  60  \n",
       "4  60  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据\n",
    "data = pd.read_csv(\"scores.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d9564f31-dc22-4183-a703-87dd24ac0406",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-29T07:22:41.994036Z",
     "iopub.status.busy": "2022-06-29T07:22:41.993705Z",
     "iopub.status.idle": "2022-06-29T07:22:42.315120Z",
     "shell.execute_reply": "2022-06-29T07:22:42.314342Z",
     "shell.execute_reply.started": "2022-06-29T07:22:41.994009Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置画板\n",
    "plt.figure(figsize=(15, 5),dpi=120)\n",
    "# 设置绘图数据\n",
    "counts, bins, patches = plt.hist(data[\"history\"], 20, edgecolor=\"k\")\n",
    "# 绘制x轴刻度\n",
    "plt.xticks(bins, [\"%.2f\" % x for x in bins])\n",
    "# 循环给每个柱面做标注\n",
    "for count, bin in zip(counts, bins):\n",
    "    plt.annotate(\n",
    "        \"%d人\" % count,\n",
    "        xy=(bin, count),\n",
    "        xytext=(bin + 0.5, count + 0.4),\n",
    "        font_properties=font,\n",
    "    )\n",
    "# 设置图名\n",
    "plt.title(\"x班历史成绩直方图\", font_properties=font)\n",
    "# 绘图\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
